首页> 外文学位 >Applications of statistical signal processing and digital image processing in the development of a mathematical model relating chemosensory electrophysiology and feeding behavior in Manduca sexta.
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Applications of statistical signal processing and digital image processing in the development of a mathematical model relating chemosensory electrophysiology and feeding behavior in Manduca sexta.

机译:统计信号处理和数字图像处理在建立与马六甲化学感应电生理学和进食行为有关的数学模型中的应用。

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Two sets of biological experiments were conducted toward the development of a mathematical model relating discharge rate of peripheral chemosensory neurons to feeding behavior in the tobacco hornworm (larva I Manduca sexta). The first set examined behavioral responses to combinations of two chemical compounds, one of which stimulated (inositol) and the second of which deterred [Rosmarinic Acid (RA)] feeding in this organism. In the second set, the electrophysiological responses of specific peripheral taste neurons were recorded following stimulation by the same binary mixtures that were presented in the behavioral experiments.; Two technical contributions were developed to address the goals of the biological study. First, an optimal pattern recognition algorithm was developed for identifying the activity of individual neurons whose signals were mixed together in the extracellular recordings. This algorithm was technically superior to the techniques previously used and addressed a general neuroengineering problem that occurs in the analysis of extracellular recordings of neural activity in nerve fibers or cortical tissue. As such the findings may have applications in the development of neural prosthesis. The second contribution involved the implementation of a computer-controlled apparatus that automatically quantified feeding behavior. Specifically, software was developed that controlled camera positioning and image digitization and employed techniques of digital image processing to automatically estimate food consumption. These techniques can aid in the development of alternative pest management strategies for reducing the use of neurotoxic pesticides, which represent health hazards for humans.; Several conclusions were reached from the experimental results. First, RA was confirmed as a strong feeding deterrent, even at concentration levels that were a factor of 30 lower than inositol. The second finding was an unexpected peripheral interaction where the presence of RA, at virtually any level, decreased the firing rate of the inositol-sensitive neuron. A third finding was that moderately high levels of inositol mitigate RA's feeding deterrence to a greater degree than predicted given the mild stimulatory effects of the unary mixtures of inositol. A linear relation between chemosensory firing rate and feeding behavior was not inconsistent with these data.
机译:为了建立一种数学模型,进行了两组生物学实验,该数学模型将周围化学感受神经元的放电速率与烟草天牛(幼虫 Manduca sexta )的进食行为联系起来。第一组研究了对两种化合物组合的行为响应,其中一种刺激(肌醇),第二种阻止了该生物体中的[迷迭香酸(RA)]摄食。在第二组中,在行为实验中用相同的二元混合物刺激后,记录了特定外周味神经元的电生理反应。为解决生物学研究的目标,已开发出两种技术。首先,开发了一种最佳模式识别算法,用于识别信号在细胞外记录中混合在一起的单个神经元的活动。该算法在技术上优于先前使用的技术,并且解决了在分析神经纤维或皮质组织中神经活动的细胞外记录时发生的一般神经工程问题。因此,这些发现可能在神经假体的发展中具有应用。第二项贡献涉及计算机控制设备的实现,该设备可自动量化喂食行为。具体来说,开发了可控制相机定位和图像数字化的软件,并采用了数字图像处理技术来自动估计食物消耗。这些技术可以帮助开发替代性有害生物管理战略,以减少对人类健康构成危害的神经毒性农药的使用。从实验结果得出了几个结论。首先,即使在浓度水平比肌醇低30倍的情况下,RA也被认为是一种强大的饲料威慑作用。第二个发现是出乎意料的外周相互作用,其中RA的存在实际上在任何水平上都降低了肌醇敏感神经元的放电速率。第三个发现是,鉴于肌醇一元混合物的轻度刺激作用,适度高水平的肌醇减轻了RA的摄食威力,其程度比预期的要大。化学感觉发射速率与进食行为之间的线性关系与这些数据并不矛盾。

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